Towards human friendly data mining: linguistic data summaries and their protoforms

被引：0
|
作者：
Zadrozny, S
Kacprzyk, J
Gola, M
机构：
[1] Polish Acad Sci, Syst Res Inst, PL-01447 Warsaw, Poland
[2] Warsaw Sch Informat Technol, PL-01447 Warsaw, Poland
来源：
ARTIFICIAL NEURAL NETWORKS: FORMAL MODELS AND THEIR APPLICATIONS - ICANN 2005, PT 2, PROCEEDINGS | 2005年 / 3697卷
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D O I：
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中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We show how linguistic database summaries can provide tools for human friendly data mining. The relevance of Zadeh's concept of a protoform is indicated. We present the use of our fuzzy databse querying interface for an effective and efficient mining of such linguistic data summaries. We outline an implementation for a computer retailer involving both data from an internal database of the company and data downloaded from external databases via the Internet.
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页码：697 / 702
页数：6
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